Overview

Dataset statistics

Number of variables27
Number of observations136916
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 MiB
Average record size in memory216.0 B

Variable types

Categorical2
Numeric25

Warnings

LEEFTIJDSKLASSE has a high cardinality: 91 distinct values High cardinality
AANTAL_BSN is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
AANTAL_VERZEKERDEJAREN is highly correlated with AANTAL_BSN and 3 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_KRAAMZORG is highly correlated with KOSTEN_VERLOSKUNDIGE_ZORGHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly correlated with KOSTEN_KRAAMZORGHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly correlated with AANTAL_BSN and 1 other fieldsHigh correlation
AANTAL_BSN is highly skewed (γ1 = 359.9627084) Skewed
AANTAL_VERZEKERDEJAREN is highly skewed (γ1 = 339.5691361) Skewed
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly skewed (γ1 = 52.17140102) Skewed
KOSTEN_FARMACIE is highly skewed (γ1 = 29.41423327) Skewed
KOSTEN_SPECIALISTISCHE_GGZ is highly skewed (γ1 = 27.03511978) Skewed
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly skewed (γ1 = 190.2163179) Skewed
KOSTEN_HUISARTS_CONSULT is highly skewed (γ1 = 44.70295717) Skewed
KOSTEN_HUISARTS_OVERIG is highly skewed (γ1 = 195.4210711) Skewed
KOSTEN_ZIEKENVERVOER_LIGGEND is highly skewed (γ1 = 80.99502686) Skewed
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly skewed (γ1 = 26.69994527) Skewed
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly skewed (γ1 = 366.9142618) Skewed
KOSTEN_SPECIALISTISCHE_GGZ has 52814 (38.6%) zeros Zeros
KOSTEN_HUISARTS_MDZ has 11082 (8.1%) zeros Zeros
KOSTEN_HULPMIDDELEN has 6525 (4.8%) zeros Zeros
KOSTEN_MONDZORG has 27688 (20.2%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE has 29337 (21.4%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_OVERIG has 22856 (16.7%) zeros Zeros
KOSTEN_ZIEKENVERVOER_ZITTEND has 88328 (64.5%) zeros Zeros
KOSTEN_ZIEKENVERVOER_LIGGEND has 32887 (24.0%) zeros Zeros
KOSTEN_KRAAMZORG has 119707 (87.4%) zeros Zeros
KOSTEN_VERLOSKUNDIGE_ZORG has 118983 (86.9%) zeros Zeros
KOSTEN_GENERALISTISCHE_BASIS_GGZ has 75148 (54.9%) zeros Zeros
KOSTEN_LANGDURIGE_GGZ has 134601 (98.3%) zeros Zeros
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG has 53547 (39.1%) zeros Zeros
KOSTEN_EERSTELIJNS_ONDERSTEUNING has 58122 (42.5%) zeros Zeros
KOSTEN_GERIATRISCHE_REVALIDATIEZORG has 113073 (82.6%) zeros Zeros
KOSTEN_VERPLEGING_EN_VERZORGING has 63022 (46.0%) zeros Zeros
KOSTEN_OVERIG has 48825 (35.7%) zeros Zeros

Reproduction

Analysis started2021-03-01 18:05:00.073036
Analysis finished2021-03-01 18:07:15.030017
Duration2 minutes and 14.96 seconds
Software versionpandas-profiling v2.12.0
Download configurationconfig.yaml

Variables

GESLACHT
Categorical

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
V
68671 
M
68244 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters136915
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th rowM
5th rowM
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%
(Missing)1
 
< 0.1%
2021-03-01T18:07:15.241614image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
2021-03-01T18:07:15.343541image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
v68671
50.2%
m68244
49.8%

Most occurring characters

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter136915
100.0%

Most frequent character per category

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring scripts

ValueCountFrequency (%)
Latin136915
100.0%

Most frequent character per script

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII136915
100.0%

Most frequent character per block

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

LEEFTIJDSKLASSE
Categorical

HIGH CARDINALITY

Distinct91
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
54
 
1562
57
 
1559
48
 
1559
50
 
1558
55
 
1558
Other values (86)
129119 

Length

Max length3
Median length2
Mean length1.899733411
Min length1

Characters and Unicode

Total characters260102
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
541562
 
1.1%
571559
 
1.1%
481559
 
1.1%
501558
 
1.1%
551558
 
1.1%
521558
 
1.1%
471557
 
1.1%
491556
 
1.1%
511556
 
1.1%
601556
 
1.1%
Other values (81)121336
88.6%
2021-03-01T18:07:15.684067image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
541562
 
1.1%
571559
 
1.1%
481559
 
1.1%
501558
 
1.1%
521558
 
1.1%
551558
 
1.1%
471557
 
1.1%
601556
 
1.1%
511556
 
1.1%
491556
 
1.1%
Other values (81)121336
88.6%

Most occurring characters

ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number258668
99.4%
Math Symbol1434
 
0.6%

Most frequent character per category

ValueCountFrequency (%)
529124
11.3%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.3%
015142
5.9%
914724
5.7%
ValueCountFrequency (%)
+1434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common260102
100.0%

Most frequent character per script

ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII260102
100.0%

Most frequent character per block

ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

POSTCODE_3
Real number (ℝ≥0)

Distinct794
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean541.178556
Minimum0
Maximum999
Zeros182
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:15.869155image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144
Q1318
median539
Q3763
95-th percentile955
Maximum999
Range999
Interquartile range (IQR)445

Descriptive statistics

Standard deviation258.2297375
Coefficient of variation (CV)0.4771618065
Kurtosis-1.167168121
Mean541.178556
Median Absolute Deviation (MAD)223
Skewness0.03576618106
Sum74095462
Variance66682.59731
MonotocityNot monotonic
2021-03-01T18:07:16.071030image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
685182
 
0.1%
534182
 
0.1%
666182
 
0.1%
537182
 
0.1%
488182
 
0.1%
924182
 
0.1%
656182
 
0.1%
860182
 
0.1%
445182
 
0.1%
311182
 
0.1%
Other values (784)135095
98.7%
ValueCountFrequency (%)
0182
0.1%
101182
0.1%
102182
0.1%
103182
0.1%
10416
 
< 0.1%
ValueCountFrequency (%)
999166
0.1%
998182
0.1%
997172
0.1%
996176
0.1%
995180
0.1%

AANTAL_BSN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct1126
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.8387478
Minimum10
Maximum356551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:16.273753image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q141
median82
Q3163
95-th percentile381
Maximum356551
Range356541
Interquartile range (IQR)122

Descriptive statistics

Standard deviation972.1535101
Coefficient of variation (CV)7.60452935
Kurtosis131972.1916
Mean127.8387478
Median Absolute Deviation (MAD)50
Skewness359.9627084
Sum17503170
Variance945082.4472
MonotocityNot monotonic
2021-03-01T18:07:16.477464image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191161
 
0.8%
211148
 
0.8%
291147
 
0.8%
281140
 
0.8%
221140
 
0.8%
201137
 
0.8%
181133
 
0.8%
331128
 
0.8%
351127
 
0.8%
301123
 
0.8%
Other values (1116)125532
91.7%
ValueCountFrequency (%)
101022
0.7%
111034
0.8%
121078
0.8%
131066
0.8%
141066
0.8%
ValueCountFrequency (%)
3565511
< 0.1%
23111
< 0.1%
22921
< 0.1%
22321
< 0.1%
21301
< 0.1%

AANTAL_VERZEKERDEJAREN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct34846
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.5254763
Minimum3.09
Maximum196219.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:16.709339image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3.09
5-th percentile15.27
Q140
median81
Q3160.34
95-th percentile376.0325
Maximum196219.74
Range196216.65
Interquartile range (IQR)120.34

Descriptive statistics

Standard deviation545.3718356
Coefficient of variation (CV)4.37960048
Kurtosis122082.8639
Mean124.5254763
Median Absolute Deviation (MAD)50
Skewness339.5691361
Sum17049530.11
Variance297430.4391
MonotocityNot monotonic
2021-03-01T18:07:16.917277image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12749
 
0.5%
11738
 
0.5%
19718
 
0.5%
21710
 
0.5%
15707
 
0.5%
10704
 
0.5%
16703
 
0.5%
14701
 
0.5%
13689
 
0.5%
18682
 
0.5%
Other values (34836)129815
94.8%
ValueCountFrequency (%)
3.091
< 0.1%
3.951
< 0.1%
4.11
< 0.1%
4.331
< 0.1%
4.471
< 0.1%
ValueCountFrequency (%)
196219.741
< 0.1%
2220.621
< 0.1%
2191.361
< 0.1%
2130.011
< 0.1%
2047.131
< 0.1%
Distinct136549
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165218.8045
Minimum-7777
Maximum46978766.76
Zeros19
Zeros (%)< 0.1%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:17.321472image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-7777
5-th percentile6303.62
Q132441.9675
median88496.32
Q3215527.94
95-th percentile576265.5525
Maximum46978766.76
Range46986543.76
Interquartile range (IQR)183085.9725

Descriptive statistics

Standard deviation246118.0601
Coefficient of variation (CV)1.4896492
Kurtosis9567.953488
Mean165218.8045
Median Absolute Deviation (MAD)68699.18
Skewness52.17140102
Sum2.262109784 × 1010
Variance6.057409949 × 1010
MonotocityNot monotonic
2021-03-01T18:07:17.518604image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
< 0.1%
68924.492
 
< 0.1%
20135.892
 
< 0.1%
10450.262
 
< 0.1%
42567.542
 
< 0.1%
63450.962
 
< 0.1%
45953.52
 
< 0.1%
16293.952
 
< 0.1%
84962.092
 
< 0.1%
15847.022
 
< 0.1%
Other values (136539)136879
> 99.9%
ValueCountFrequency (%)
-77771
 
< 0.1%
019
< 0.1%
12.521
 
< 0.1%
231
 
< 0.1%
25.711
 
< 0.1%
ValueCountFrequency (%)
46978766.761
< 0.1%
4462180.081
< 0.1%
4142347.51
< 0.1%
3839430.51
< 0.1%
3616606.711
< 0.1%

KOSTEN_FARMACIE
Real number (ℝ≥0)

SKEWED

Distinct134842
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33974.63187
Minimum14.11
Maximum8368957.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:17.794406image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum14.11
5-th percentile906.0675
Q14957.82
median15929.88
Q343154.03
95-th percentile125922.9925
Maximum8368957.11
Range8368943
Interquartile range (IQR)38196.21

Descriptive statistics

Standard deviation54331.59987
Coefficient of variation (CV)1.599181415
Kurtosis4067.416092
Mean33974.63187
Median Absolute Deviation (MAD)13287.735
Skewness29.41423327
Sum4651670697
Variance2951922745
MonotocityNot monotonic
2021-03-01T18:07:17.983714image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3899.743
 
< 0.1%
2797.033
 
< 0.1%
6985.333
 
< 0.1%
28952.863
 
< 0.1%
2217.623
 
< 0.1%
4341.593
 
< 0.1%
2848.83
 
< 0.1%
765.863
 
< 0.1%
913.713
 
< 0.1%
10959.433
 
< 0.1%
Other values (134832)136886
> 99.9%
ValueCountFrequency (%)
14.111
< 0.1%
14.141
< 0.1%
14.161
< 0.1%
14.321
< 0.1%
14.981
< 0.1%
ValueCountFrequency (%)
8368957.111
< 0.1%
1231629.741
< 0.1%
1166271.421
< 0.1%
1147381.841
< 0.1%
1015539.561
< 0.1%

KOSTEN_SPECIALISTISCHE_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct69094
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21524.51238
Minimum-66348.6
Maximum7669881.83
Zeros52814
Zeros (%)38.6%
Negative5
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:18.227106image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-66348.6
5-th percentile0
Q10
median2561.32
Q319746.3775
95-th percentile108695.9
Maximum7669881.83
Range7736230.43
Interquartile range (IQR)19746.3775

Descriptive statistics

Standard deviation51905.61999
Coefficient of variation (CV)2.411465545
Kurtosis3468.236635
Mean21524.51238
Median Absolute Deviation (MAD)2561.32
Skewness27.03511978
Sum2947050137
Variance2694193386
MonotocityNot monotonic
2021-03-01T18:07:18.428187image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052814
38.6%
616.73181
 
0.1%
1109.94163
 
0.1%
2502.32145
 
0.1%
1028.98125
 
0.1%
2500.54106
 
0.1%
2450.7298
 
0.1%
585.6693
 
0.1%
635.0288
 
0.1%
320.7487
 
0.1%
Other values (69084)83016
60.6%
ValueCountFrequency (%)
-66348.61
< 0.1%
-56879.221
< 0.1%
-28221.911
< 0.1%
-17118.931
< 0.1%
-15556.561
< 0.1%
ValueCountFrequency (%)
7669881.831
< 0.1%
1160281.641
< 0.1%
910582.081
< 0.1%
890716.441
< 0.1%
857109.741
< 0.1%

KOSTEN_HUISARTS_INSCHRIJFTARIEF
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct35375
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8055.889751
Minimum59.96
Maximum3973069.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:18.663646image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum59.96
5-th percentile1074
Q12698.2
median5456.36
Q310611.45
95-th percentile23699.9925
Maximum3973069.45
Range3973009.49
Interquartile range (IQR)7913.25

Descriptive statistics

Standard deviation13390.55662
Coefficient of variation (CV)1.662207035
Kurtosis56149.53843
Mean8055.889751
Median Absolute Deviation (MAD)3327.78
Skewness190.2163179
Sum1102980201
Variance179307006.5
MonotocityNot monotonic
2021-03-01T18:07:18.875687image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
719.52529
 
0.4%
659.56488
 
0.4%
1259.16483
 
0.4%
1019.32477
 
0.3%
1139.24474
 
0.3%
1199.2469
 
0.3%
959.36465
 
0.3%
899.4453
 
0.3%
1319.12452
 
0.3%
599.6446
 
0.3%
Other values (35365)132180
96.5%
ValueCountFrequency (%)
59.961
 
< 0.1%
104.931
 
< 0.1%
149.92
 
< 0.1%
164.898
< 0.1%
179.886
< 0.1%
ValueCountFrequency (%)
3973069.451
< 0.1%
133923.661
< 0.1%
130108.51
< 0.1%
127593.251
< 0.1%
121932.841
< 0.1%

KOSTEN_HUISARTS_CONSULT
Real number (ℝ≥0)

SKEWED

Distinct95969
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.935385
Minimum0
Maximum1261062.66
Zeros38
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:19.139512image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile429.185
Q11440.44
median3217.68
Q36764.4125
95-th percentile16346.91
Maximum1261062.66
Range1261062.66
Interquartile range (IQR)5323.9725

Descriptive statistics

Standard deviation7016.106244
Coefficient of variation (CV)1.348489982
Kurtosis7525.288994
Mean5202.935385
Median Absolute Deviation (MAD)2165.86
Skewness44.70295717
Sum712365101.2
Variance49225746.83
MonotocityNot monotonic
2021-03-01T18:07:19.368938image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038
 
< 0.1%
198.4922
 
< 0.1%
249.2720
 
< 0.1%
272.3620
 
< 0.1%
226.219
 
< 0.1%
33719
 
< 0.1%
355.4519
 
< 0.1%
332.3719
 
< 0.1%
300.0418
 
< 0.1%
443.1718
 
< 0.1%
Other values (95959)136704
99.8%
ValueCountFrequency (%)
038
< 0.1%
1.751
 
< 0.1%
21
 
< 0.1%
2.483
 
< 0.1%
2.921
 
< 0.1%
ValueCountFrequency (%)
1261062.661
< 0.1%
236449.851
< 0.1%
166311.621
< 0.1%
150052.211
< 0.1%
144627.11
< 0.1%

KOSTEN_HUISARTS_MDZ
Real number (ℝ≥0)

ZEROS

Distinct102579
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.753646
Minimum0
Maximum793129.65
Zeros11082
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:19.634968image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168.6
median1474.31
Q35177.05
95-th percentile17146.29
Maximum793129.65
Range793129.65
Interquartile range (IQR)5008.45

Descriptive statistics

Standard deviation7124.624366
Coefficient of variation (CV)1.720195109
Kurtosis1113.478075
Mean4141.753646
Median Absolute Deviation (MAD)1453.43
Skewness12.89649631
Sum567072342.2
Variance50760272.35
MonotocityNot monotonic
2021-03-01T18:07:19.963664image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011082
 
8.1%
0.22177
 
0.1%
22.82160
 
0.1%
0.33157
 
0.1%
41.82137
 
0.1%
414.48124
 
0.1%
235122
 
0.1%
3.2121
 
0.1%
0.26121
 
0.1%
0.55112
 
0.1%
Other values (102569)124603
91.0%
ValueCountFrequency (%)
011082
8.1%
0.1168
 
< 0.1%
0.122
 
< 0.1%
0.1326
 
< 0.1%
0.166
 
< 0.1%
ValueCountFrequency (%)
793129.651
< 0.1%
148980.281
< 0.1%
134874.461
< 0.1%
116405.581
< 0.1%
107586.711
< 0.1%

KOSTEN_HUISARTS_OVERIG
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct128820
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6182.330392
Minimum-236.47
Maximum3402557.07
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:20.240994image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-236.47
5-th percentile725.16
Q11980.7975
median3995.355
Q37954.2975
95-th percentile18781
Maximum3402557.07
Range3402793.54
Interquartile range (IQR)5973.5

Descriptive statistics

Standard deviation11369.87941
Coefficient of variation (CV)1.839092816
Kurtosis58158.58309
Mean6182.330392
Median Absolute Deviation (MAD)2480.33
Skewness195.4210711
Sum846459948
Variance129274157.8
MonotocityNot monotonic
2021-03-01T18:07:20.445527image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3563.214
 
< 0.1%
2679.174
 
< 0.1%
4844.224
 
< 0.1%
1966.384
 
< 0.1%
2232.354
 
< 0.1%
2235.694
 
< 0.1%
39994
 
< 0.1%
4802.84
 
< 0.1%
1770.464
 
< 0.1%
3218.054
 
< 0.1%
Other values (128810)136876
> 99.9%
ValueCountFrequency (%)
-236.471
< 0.1%
31.381
< 0.1%
70.321
< 0.1%
72.261
< 0.1%
82.151
< 0.1%
ValueCountFrequency (%)
3402557.071
< 0.1%
192792.031
< 0.1%
161228.241
< 0.1%
143081.981
< 0.1%
137433.241
< 0.1%

KOSTEN_HULPMIDDELEN
Real number (ℝ≥0)

ZEROS

Distinct119605
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10638.33065
Minimum0
Maximum1675945.12
Zeros6525
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:20.721408image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4075
Q11028.1325
median5060.01
Q313791.9725
95-th percentile39410.215
Maximum1675945.12
Range1675945.12
Interquartile range (IQR)12763.84

Descriptive statistics

Standard deviation16990.32385
Coefficient of variation (CV)1.597085521
Kurtosis755.641834
Mean10638.33065
Median Absolute Deviation (MAD)4713.01
Skewness12.12283136
Sum1456557680
Variance288671104.6
MonotocityNot monotonic
2021-03-01T18:07:20.918000image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06525
 
4.8%
29.1838
 
0.6%
30.55285
 
0.2%
23.5273
 
0.2%
58.2173
 
0.1%
30.71141
 
0.1%
29.42131
 
0.1%
46126
 
0.1%
32.33118
 
0.1%
59.6586
 
0.1%
Other values (119595)128220
93.6%
ValueCountFrequency (%)
06525
4.8%
0.181
 
< 0.1%
0.191
 
< 0.1%
0.23
 
< 0.1%
0.212
 
< 0.1%
ValueCountFrequency (%)
1675945.121
< 0.1%
706827.191
< 0.1%
543395.351
< 0.1%
461447.341
< 0.1%
454747.291
< 0.1%

KOSTEN_MONDZORG
Real number (ℝ)

ZEROS

Distinct95906
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5379.195574
Minimum-444.08
Maximum938749.29
Zeros27688
Zeros (%)20.2%
Negative20
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:21.178306image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-444.08
5-th percentile0
Q1144.4775
median1653.65
Q35704.5075
95-th percentile22786.1675
Maximum938749.29
Range939193.37
Interquartile range (IQR)5560.03

Descriptive statistics

Standard deviation11338.41865
Coefficient of variation (CV)2.107827925
Kurtosis395.0284354
Mean5379.195574
Median Absolute Deviation (MAD)1653.65
Skewness9.661026124
Sum736497941.2
Variance128559737.4
MonotocityNot monotonic
2021-03-01T18:07:21.372216image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027688
 
20.2%
84.98267
 
0.2%
20.44222
 
0.2%
74.19198
 
0.1%
40.88128
 
0.1%
61.3290
 
0.1%
59.5379
 
0.1%
120.375
 
0.1%
162.5575
 
0.1%
156.3170
 
0.1%
Other values (95896)108024
78.9%
ValueCountFrequency (%)
-444.081
 
< 0.1%
-441.91
 
< 0.1%
-83.513
< 0.1%
-82.881
 
< 0.1%
-48.021
 
< 0.1%
ValueCountFrequency (%)
938749.291
< 0.1%
271261.51
< 0.1%
270464.061
< 0.1%
265425.581
< 0.1%
261961.261
< 0.1%

KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE
Real number (ℝ≥0)

ZEROS

Distinct76018
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.310251
Minimum0
Maximum340085.91
Zeros29337
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:21.606406image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171
median1768.425
Q34883.5
95-th percentile13733.5875
Maximum340085.91
Range340085.91
Interquartile range (IQR)4712.5

Descriptive statistics

Standard deviation5253.34491
Coefficient of variation (CV)1.449074575
Kurtosis139.1174201
Mean3625.310251
Median Absolute Deviation (MAD)1768.425
Skewness4.866484901
Sum496362978.3
Variance27597632.75
MonotocityNot monotonic
2021-03-01T18:07:21.799201image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029337
 
21.4%
29.5131
 
0.1%
28.5119
 
0.1%
5998
 
0.1%
85.597
 
0.1%
5793
 
0.1%
88.591
 
0.1%
206.589
 
0.1%
32.7589
 
0.1%
29.2586
 
0.1%
Other values (76008)106686
77.9%
ValueCountFrequency (%)
029337
21.4%
7.121
 
< 0.1%
9.051
 
< 0.1%
101
 
< 0.1%
12.651
 
< 0.1%
ValueCountFrequency (%)
340085.911
< 0.1%
121763.261
< 0.1%
92821.351
< 0.1%
88719.41
< 0.1%
79761.981
< 0.1%

KOSTEN_PARAMEDISCHE_ZORG_OVERIG
Real number (ℝ)

ZEROS

Distinct74302
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1736.739558
Minimum-46.02
Maximum258441.47
Zeros22856
Zeros (%)16.7%
Negative2
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:22.043357image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-46.02
5-th percentile0
Q1122.045
median518.47
Q31514.2375
95-th percentile6435.145
Maximum258441.47
Range258487.49
Interquartile range (IQR)1392.1925

Descriptive statistics

Standard deviation5016.948869
Coefficient of variation (CV)2.888716875
Kurtosis247.1896119
Mean1736.739558
Median Absolute Deviation (MAD)518.47
Skewness11.48801444
Sum237787433.3
Variance25169775.95
MonotocityNot monotonic
2021-03-01T18:07:22.245058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022856
 
16.7%
176.88512
 
0.4%
178.8455
 
0.3%
186422
 
0.3%
93376
 
0.3%
88.44375
 
0.3%
117.92358
 
0.3%
180344
 
0.3%
89.4302
 
0.2%
124300
 
0.2%
Other values (74292)110616
80.8%
ValueCountFrequency (%)
-46.021
 
< 0.1%
-28.91
 
< 0.1%
022856
16.7%
3.881
 
< 0.1%
8.941
 
< 0.1%
ValueCountFrequency (%)
258441.471
< 0.1%
219682.471
< 0.1%
207652.461
< 0.1%
184182.511
< 0.1%
168919.611
< 0.1%

KOSTEN_ZIEKENVERVOER_ZITTEND
Real number (ℝ)

ZEROS

Distinct33337
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.0814567
Minimum-114.92
Maximum136850
Zeros88328
Zeros (%)64.5%
Negative3
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:22.577913image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-114.92
5-th percentile0
Q10
median0
Q3412.985
95-th percentile4466.335
Maximum136850
Range136964.92
Interquartile range (IQR)412.985

Descriptive statistics

Standard deviation2134.031625
Coefficient of variation (CV)2.807635427
Kurtosis162.8472167
Mean760.0814567
Median Absolute Deviation (MAD)0
Skewness7.025894536
Sum104067312.7
Variance4554090.977
MonotocityNot monotonic
2021-03-01T18:07:22.772269image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
088328
64.5%
6853
 
< 0.1%
0.846
 
< 0.1%
101.645
 
< 0.1%
28.842
 
< 0.1%
1240
 
< 0.1%
23639
 
< 0.1%
202.438
 
< 0.1%
40435
 
< 0.1%
14.434
 
< 0.1%
Other values (33327)48216
35.2%
ValueCountFrequency (%)
-114.921
 
< 0.1%
-1001
 
< 0.1%
-39.121
 
< 0.1%
088328
64.5%
0.011
 
< 0.1%
ValueCountFrequency (%)
1368501
< 0.1%
46078.711
< 0.1%
42960.971
< 0.1%
41745.031
< 0.1%
41298.81
< 0.1%

KOSTEN_ZIEKENVERVOER_LIGGEND
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34449
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4087.406303
Minimum0
Maximum1863993.75
Zeros32887
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:23.007035image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1509.39
median1781.67
Q35094.565
95-th percentile15605.5725
Maximum1863993.75
Range1863993.75
Interquartile range (IQR)4585.175

Descriptive statistics

Standard deviation8478.113404
Coefficient of variation (CV)2.074203731
Kurtosis16981.06412
Mean4087.406303
Median Absolute Deviation (MAD)1781.67
Skewness80.99502686
Sum559631321.4
Variance71878406.9
MonotocityNot monotonic
2021-03-01T18:07:23.212794image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
032887
 
24.0%
697.89903
 
0.7%
721.29901
 
0.7%
693.99829
 
0.6%
729.09799
 
0.6%
701.79774
 
0.6%
736.89764
 
0.6%
713.49762
 
0.6%
717.39759
 
0.6%
705.69743
 
0.5%
Other values (34439)96795
70.7%
ValueCountFrequency (%)
032887
24.0%
6.241
 
< 0.1%
7.61
 
< 0.1%
18.441
 
< 0.1%
23.681
 
< 0.1%
ValueCountFrequency (%)
1863993.751
< 0.1%
334469.071
< 0.1%
277647.961
< 0.1%
246295.681
< 0.1%
227647.731
< 0.1%

KOSTEN_KRAAMZORG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct15582
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2159.761131
Minimum-144.51
Maximum923607.73
Zeros119707
Zeros (%)87.4%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:23.435432image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-144.51
5-th percentile0
Q10
median0
Q30
95-th percentile11973.1575
Maximum923607.73
Range923752.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10594.81061
Coefficient of variation (CV)4.905547405
Kurtosis528.7407824
Mean2159.761131
Median Absolute Deviation (MAD)0
Skewness13.04207752
Sum295705855
Variance112250011.9
MonotocityNot monotonic
2021-03-01T18:07:23.637266image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0119707
87.4%
21.64223
 
0.2%
86.53122
 
0.1%
43.27100
 
0.1%
108.1685
 
0.1%
104.8962
 
< 0.1%
4052
 
< 0.1%
1038
 
< 0.1%
43.2932
 
< 0.1%
3025
 
< 0.1%
Other values (15572)16470
 
12.0%
ValueCountFrequency (%)
-144.511
 
< 0.1%
0119707
87.4%
2.11
 
< 0.1%
8.251
 
< 0.1%
8.3212
 
< 0.1%
ValueCountFrequency (%)
923607.731
< 0.1%
342528.491
< 0.1%
340512.791
< 0.1%
323931.421
< 0.1%
277844.881
< 0.1%

KOSTEN_VERLOSKUNDIGE_ZORG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct14541
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.488048
Minimum-152.78
Maximum845092.35
Zeros118983
Zeros (%)86.9%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:23.837681image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-152.78
5-th percentile0
Q10
median0
Q30
95-th percentile7889.535
Maximum845092.35
Range845245.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8216.922456
Coefficient of variation (CV)5.354829885
Kurtosis1013.114629
Mean1534.488048
Median Absolute Deviation (MAD)0
Skewness18.26861037
Sum210095965.6
Variance67517814.65
MonotocityNot monotonic
2021-03-01T18:07:24.034305image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0118983
86.9%
294.18290
 
0.2%
36.48200
 
0.1%
1563.0689
 
0.1%
1636.0285
 
0.1%
1599.5481
 
0.1%
43.7778
 
0.1%
211.5477
 
0.1%
167.7768
 
< 0.1%
72.9662
 
< 0.1%
Other values (14531)16903
 
12.3%
ValueCountFrequency (%)
-152.781
 
< 0.1%
0118983
86.9%
27.638
 
< 0.1%
34.82
 
< 0.1%
36.48200
 
0.1%
ValueCountFrequency (%)
845092.351
< 0.1%
333279.31
< 0.1%
326058.551
< 0.1%
321894.71
< 0.1%
305078.571
< 0.1%

KOSTEN_GENERALISTISCHE_BASIS_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct29818
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.637771
Minimum-218.41
Maximum526191.06
Zeros75148
Zeros (%)54.9%
Negative2
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:24.246920image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-218.41
5-th percentile0
Q10
median0
Q31686.58
95-th percentile7315.235
Maximum526191.06
Range526409.47
Interquartile range (IQR)1686.58

Descriptive statistics

Standard deviation3650.853125
Coefficient of variation (CV)2.378967333
Kurtosis3180.788237
Mean1534.637771
Median Absolute Deviation (MAD)0
Skewness26.69994527
Sum210116465
Variance13328728.54
MonotocityNot monotonic
2021-03-01T18:07:24.449094image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075148
54.9%
1262.822028
 
1.5%
1199.681122
 
0.8%
1136.54905
 
0.7%
1165.48895
 
0.7%
805.34707
 
0.5%
1212.31701
 
0.5%
765.07660
 
0.5%
724.81607
 
0.4%
192.92521
 
0.4%
Other values (29808)53622
39.2%
ValueCountFrequency (%)
-218.411
 
< 0.1%
-100.321
 
< 0.1%
075148
54.9%
4.61
 
< 0.1%
12.861
 
< 0.1%
ValueCountFrequency (%)
526191.061
< 0.1%
114056.41
< 0.1%
105632.971
< 0.1%
105581.31
< 0.1%
99291.361
< 0.1%

KOSTEN_LANGDURIGE_GGZ
Real number (ℝ≥0)

ZEROS

Distinct2031
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.980375
Minimum0
Maximum590133.67
Zeros134601
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:24.646329image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum590133.67
Range590133.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11172.98936
Coefficient of variation (CV)10.44223765
Kurtosis381.1033838
Mean1069.980375
Median Absolute Deviation (MAD)0
Skewness16.26609839
Sum146497433.1
Variance124835691.2
MonotocityNot monotonic
2021-03-01T18:07:24.961076image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0134601
98.3%
87191.226
 
< 0.1%
87906.623
 
< 0.1%
88618.3521
 
< 0.1%
144295.4510
 
< 0.1%
89330.18
 
< 0.1%
87913.98
 
< 0.1%
143025.257
 
< 0.1%
146832.27
 
< 0.1%
79679.57
 
< 0.1%
Other values (2021)2198
 
1.6%
ValueCountFrequency (%)
0134601
98.3%
216.471
 
< 0.1%
239.471
 
< 0.1%
477.761
 
< 0.1%
478.941
 
< 0.1%
ValueCountFrequency (%)
590133.671
< 0.1%
475537.491
< 0.1%
448251.021
< 0.1%
427507.441
< 0.1%
415939.051
< 0.1%

KOSTEN_GRENSOVERSCHRIJDENDE_ZORG
Real number (ℝ)

HIGH CORRELATION
SKEWED
ZEROS

Distinct64331
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2240.297002
Minimum-378.77
Maximum38535043.17
Zeros53547
Zeros (%)39.1%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:25.203690image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-378.77
5-th percentile0
Q10
median98.35
Q3839.0575
95-th percentile9513.81
Maximum38535043.17
Range38535421.94
Interquartile range (IQR)839.0575

Descriptive statistics

Standard deviation104431.1475
Coefficient of variation (CV)46.61486733
Kurtosis135381.9081
Mean2240.297002
Median Absolute Deviation (MAD)98.35
Skewness366.9142618
Sum306732504.3
Variance1.090586457 × 1010
MonotocityNot monotonic
2021-03-01T18:07:25.411147image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
053547
39.1%
27.63455
 
0.3%
25336
 
0.2%
50292
 
0.2%
27.65167
 
0.1%
55.27151
 
0.1%
100145
 
0.1%
60140
 
0.1%
40132
 
0.1%
80116
 
0.1%
Other values (64321)81435
59.5%
ValueCountFrequency (%)
-378.771
 
< 0.1%
053547
39.1%
0.12
 
< 0.1%
0.121
 
< 0.1%
0.141
 
< 0.1%
ValueCountFrequency (%)
38535043.171
< 0.1%
565883.311
< 0.1%
390986.861
< 0.1%
381327.751
< 0.1%
341457.941
< 0.1%

KOSTEN_EERSTELIJNS_ONDERSTEUNING
Real number (ℝ≥0)

ZEROS

Distinct687
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.014787972
Minimum0
Maximum753.88
Zeros58122
Zeros (%)42.5%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:25.619525image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.88
Q35.64
95-th percentile35.72
Maximum753.88
Range753.88
Interquartile range (IQR)5.64

Descriptive statistics

Standard deviation25.49039931
Coefficient of variation (CV)3.180420917
Kurtosis64.7443214
Mean8.014787972
Median Absolute Deviation (MAD)1.88
Skewness6.996626101
Sum1097352.71
Variance649.7604571
MonotocityNot monotonic
2021-03-01T18:07:25.803795image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058122
42.5%
1.8826573
19.4%
3.7613272
 
9.7%
5.647216
 
5.3%
7.524389
 
3.2%
9.42690
 
2.0%
11.281991
 
1.5%
13.161389
 
1.0%
15.041131
 
0.8%
1.41977
 
0.7%
Other values (677)19166
 
14.0%
ValueCountFrequency (%)
058122
42.5%
0.47384
 
0.3%
0.94412
 
0.3%
1.41977
 
0.7%
1.8826573
19.4%
ValueCountFrequency (%)
753.881
< 0.1%
452.611
< 0.1%
447.911
< 0.1%
429.111
< 0.1%
412.661
< 0.1%

KOSTEN_GERIATRISCHE_REVALIDATIEZORG
Real number (ℝ≥0)

ZEROS

Distinct11575
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.749319
Minimum0
Maximum917725.19
Zeros113073
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-03-01T18:07:26.006045image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33003.2525
Maximum917725.19
Range917725.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18580.47046
Coefficient of variation (CV)3.571279207
Kurtosis231.6099099
Mean5202.749319
Median Absolute Deviation (MAD)0
Skewness10.05508917
Sum712339625.8
Variance345233882.5
MonotocityNot monotonic
2021-03-01T18:07:26.190764image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0113073
82.6%
10821.25408
 
0.3%
10663.03277
 
0.2%
12914.82201
 
0.1%
19172.94184
 
0.1%
5677.02182
 
0.1%
10932.81167
 
0.1%
5594.02154
 
0.1%
14034.6149
 
0.1%
18892.62144
 
0.1%
Other values (11565)21977
 
16.1%
ValueCountFrequency (%)
0113073
82.6%
256.931
 
< 0.1%
258.051
 
< 0.1%
262.081
 
< 0.1%
263.421
 
< 0.1%
ValueCountFrequency (%)
917725.191
< 0.1%
838777.41
< 0.1%
7991031
< 0.1%
775131.871
< 0.1%
646977.021
< 0.1%

KOSTEN_VERPLEGING_EN_VERZORGING
Real number (ℝ)

ZEROS

Distinct67257
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25079.22121
Minimum-2784.46
Maximum5598974.62
Zeros63022
Zeros (%)46.0%
Negative3
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:26.409729image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-2784.46
5-th percentile0
Q10
median244.635
Q318909.315
95-th percentile121325.8825
Maximum5598974.62
Range5601759.08
Interquartile range (IQR)18909.315

Descriptive statistics

Standard deviation84878.18013
Coefficient of variation (CV)3.384402547
Kurtosis463.3123273
Mean25079.22121
Median Absolute Deviation (MAD)244.635
Skewness15.2946965
Sum3433746651
Variance7204305462
MonotocityNot monotonic
2021-03-01T18:07:26.595638image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063022
46.0%
682159
 
0.1%
136459
 
< 0.1%
162.9654
 
< 0.1%
53.5240
 
< 0.1%
72240
 
< 0.1%
108.9637
 
< 0.1%
54.4835
 
< 0.1%
163.4433
 
< 0.1%
71.0432
 
< 0.1%
Other values (67247)73405
53.6%
ValueCountFrequency (%)
-2784.461
 
< 0.1%
-1374.841
 
< 0.1%
-988.261
 
< 0.1%
063022
46.0%
3.771
 
< 0.1%
ValueCountFrequency (%)
5598974.621
< 0.1%
4198428.661
< 0.1%
3974729.991
< 0.1%
3292775.151
< 0.1%
3285374.971
< 0.1%

KOSTEN_OVERIG
Real number (ℝ)

ZEROS

Distinct58737
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3979.077726
Minimum-1432.6
Maximum834029.68
Zeros48825
Zeros (%)35.7%
Negative7
Negative (%)< 0.1%
Memory size1.0 MiB
2021-03-01T18:07:26.827924image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1432.6
5-th percentile0
Q10
median253.2
Q31969.3775
95-th percentile20354.3975
Maximum834029.68
Range835462.28
Interquartile range (IQR)1969.3775

Descriptive statistics

Standard deviation13933.25975
Coefficient of variation (CV)3.501630456
Kurtosis335.874178
Mean3979.077726
Median Absolute Deviation (MAD)253.2
Skewness12.63101444
Sum544799406
Variance194135727.4
MonotocityNot monotonic
2021-03-01T18:07:27.019912image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
048825
35.7%
90886
 
0.6%
63.03756
 
0.6%
354.76471
 
0.3%
72.74436
 
0.3%
98.91377
 
0.3%
2222.36370
 
0.3%
262.39357
 
0.3%
50.19356
 
0.3%
67.86354
 
0.3%
Other values (58727)83728
61.2%
ValueCountFrequency (%)
-1432.61
< 0.1%
-761.821
< 0.1%
-564.291
< 0.1%
-119.781
< 0.1%
-114.661
< 0.1%
ValueCountFrequency (%)
834029.681
< 0.1%
762560.691
< 0.1%
548580.591
< 0.1%
495262.091
< 0.1%
477522.071
< 0.1%

Interactions

2021-03-01T18:05:05.154829image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:05.355550image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:05.550969image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:05.740058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:05.944718image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:06.154165image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:06.373194image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:06.577427image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:06.780564image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:06.984002image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:07.178688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:07.365591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:07.558776image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:07.748420image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:07.938741image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:08.140480image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:08.334594image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:08.526494image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:08.712206image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:08.903100image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:09.098843image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:09.298268image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:09.510116image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:09.707556image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:09.896207image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:10.209017image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:10.423287image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:10.619896image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:10.823272image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:11.057662image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:11.296672image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:11.517040image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:11.760160image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:11.971798image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:12.189703image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:12.393817image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:12.614584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:12.830485image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:13.056943image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:13.285686image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:13.495903image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:13.703416image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:13.918303image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:14.137137image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:14.362445image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:14.579467image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:14.782843image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:14.985116image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:15.195370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:15.519401image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:15.741851image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:15.957976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:16.165411image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:16.386398image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:16.618779image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:16.841803image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:17.066547image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:17.286111image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:17.515869image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:17.721618image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:17.944329image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:18.160365image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:18.378630image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:18.593765image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:18.794930image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:19.000645image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:19.212040image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:19.429758image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:19.660974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:19.890774image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:20.106505image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:20.323977image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:20.659953image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:20.843050image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:21.037075image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:21.258083image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:21.441871image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:21.660154image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:21.863931image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:22.059449image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:22.265895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:22.468853image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:22.669173image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:22.853767image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:23.053512image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:23.243802image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:23.439700image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:23.639140image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:23.829187image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:24.017514image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:24.210868image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:24.407566image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:24.614905image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:24.808765image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:24.990939image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:25.179030image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:25.360837image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:25.689056image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:25.879532image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:26.083584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:26.266886image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:26.468052image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:26.668308image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-01T18:05:26.869326image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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Correlations

2021-03-01T18:07:27.385142image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-03-01T18:07:27.932361image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Missing values

2021-03-01T18:07:11.273278image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
A simple visualization of nullity by column.
2021-03-01T18:07:13.272279image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-03-01T18:07:14.206601image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-03-01T18:07:14.480590image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

GESLACHTLEEFTIJDSKLASSEPOSTCODE_3AANTAL_BSNAANTAL_VERZEKERDEJARENKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_FARMACIEKOSTEN_SPECIALISTISCHE_GGZKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_MONDZORGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_ZIEKENVERVOER_ZITTENDKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_KRAAMZORGKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_LANGDURIGE_GGZKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_OVERIG
0NaNNaNNaN356551196219.7446978766.768368957.117669881.833973069.451261062.66793129.653402557.071675945.12938749.29340085.91258441.47136850.01863993.75923607.73845092.35526191.06120330.7738535043.17753.88281934.95696777.02495262.09
1M00.0330145.141124998.0225381.100.005278.156296.83122.1412654.511338.102062.2716851.352565.800.011936.650.000.000.000.004178.5346.060.000.000.00
2M0101.0579278.411786934.2632112.930.008995.6711378.90619.7121995.331736.69219.5118708.97122.800.013096.150.000.000.000.005221.256.580.00200.252211.57
3M0102.0312157.66950071.2512782.990.005950.247131.80135.5717602.211024.3997.5910164.69265.280.09365.320.000.000.000.001206.223.760.000.00131.87
4M0103.0341166.931344150.9124840.020.005616.567491.80195.6519003.186021.99223.1911792.31561.500.010201.430.000.000.000.00293.444.230.003333.95445.49
5M0105.0957454.982704233.2449095.530.0016008.6119426.951307.5943927.747059.73539.3130362.551097.200.031900.820.000.000.000.002435.0310.340.00176.67593.30
6M0106.01099546.944142347.5090956.510.0020634.1726067.421652.9873371.208767.5165.0947360.312185.770.037907.350.000.000.000.004916.7911.750.00843.361549.87
7M0107.0653327.822460736.5666963.340.0011042.9013761.072920.7329109.527507.39841.4637536.902384.040.023290.240.000.000.000.006923.865.170.009170.22570.07
8M0108.0285143.231171622.5233917.010.004768.536665.661576.6215280.092583.47149.5515982.32159.500.013941.080.000.000.000.0044956.420.470.00844.44153.20
9M0109.0572286.341566585.2548131.650.0010077.9812631.00760.4531746.885188.4144.5617210.121304.090.011347.650.000.000.000.001202.488.460.0013.62105.15

Last rows

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